PWM Speed Regulating System of DC Torque Motor Based on Fuzzy Immune-PID Control

Liang Qin; Wen Guang Zhang; Shao Lei Zhou; Xian Jun Shi

doi:10.4028/www.scientific.net/AMR.466-467.1129

Paper Titles

Modeling and Co-Simulation for Air Brake System of Heavy Truck
p.1109

Effective PID Parameters Self-Tuning Rule Based on Internal Model Control
p.1115

Passivity-Based Control of Voltage Source PWM Rectifier Based on Synthesis Space Vector
p.1120

Structural Optimization and Aeroelastic Analysis of a Composite T-Tail Configuration
p.1125

PWM Speed Regulating System of DC Torque Motor Based on Fuzzy Immune-PID Control
p.1129

Knowledge Based Engineering in Complicated Product Design
p.1135

Study and Design of a 3-Lamp Cold Light Lifting Retractor
p.1140

Refactoring of Mechanical Model Simulation Software Based on Component Technology
p.1145

Fault Diagnostic Method of High-Current Converter Using Wavelet Neural Network Based on Improved Adaptive Genetic Algorithms
p.1150

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467PWM Speed Regulating System of DC Torque Motor...

PWM Speed Regulating System of DC Torque Motor Based on Fuzzy Immune-PID Control

Abstract:

A PWM drive card is designed aiming at a certain type of DC torque motor used in the speed turntable. A fuzzy immune-PID control method is used instead of the traditional PID method, in order to modulate the PWM waves, and then realize the control for servo¬¬¬ system of torque motor. The simulation results show that, compared with the traditional PID method, the responding time is greatly reduced by using the fuzzy immune-PID control method. And the system gets good anti-interference ability, of which dynamic and steady performances are also improved.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

1129-1134

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.1129

Citation:

Cite this paper

Online since:

February 2012

Authors:

Liang Qin, Wen Guang Zhang, Shao Lei Zhou, Xian Jun Shi

Keywords:

Fuzzy, Immune, PID, PWM, Torque Motor

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Takahashi K, Yamada T. Self-tuning Immune Feedback Controller for Controlling Mechanical Systems. Tokyo: Proc 1997 1st IEEE, ASME Int Conf on Advanced Intelligent Mechatronics, (1997), pp.102-105.

DOI: 10.1109/aim.1997.652968

Google Scholar

[2] Dong Hwa Kim. Intelligent Tuning of PID Controller for Multivariable Process Using Immune Network Model Based on Fuzzy Set. Seoul：10th IEEE International Fuzzy Systems Conference, (2001), pp.94-96.

DOI: 10.1109/fuzz.2001.1007255

Google Scholar

[3] Dong Haws Kim. Tuning of a PID controller using an artificial immune network model and local fuzzy set. Vancouver: IFSA World Congress and 20th NAFIPS International Conference, Joint 9th, Vol 5, ( 2001), pp.2698-2703.

DOI: 10.1109/nafips.2001.943650

Google Scholar

[4] Qin Jirong，Shen Anjun. Modern DC servo control technology and design. Beijing: Mechanical Industry Press, (1993), pp.30-34.

Google Scholar

[5] Litao. computer immunology. Beijing：electronic Industry Press, (2004), pp.195-199.

Google Scholar

[6] Liu Jinkun. MATLAB Simulation of advanced PID Control. Beijing：Electronic Industry Press, (2004), pp.94-146.

Google Scholar